Sentence examples for modelling process to from inspiring English sources

Such a centralised and standardised review process can also help to come across ambiguous test instructions (as mentioned earlier), because the openEHR approach tries to involve clinicians from the beginning of the modelling process to ensure model consistency.

Therefore this simulation study restricted the modelling process to including all covariates in the prognostic model and assuming linear relationships for all continuous covariates, both in the generation of the survival times and in the fitting of the prognostic model.

In the current study, we have substantially expanded the modelling process to allow multiple mutational biases and rates and used model error calculations to allow each to be systematically optimized rather than empirically assigned.

We describe the modelling process to provide a convincing interactive simulation of the handover steps involved.

This paper proposes a modelling process to build such a tool.

Under those conditions the model can be used to focus only on breakage rate constants, keeping the number of fitted parameters in the modelling process to a minimum.

Signs of dehydration, the only predictor not present in the sensitivity models, was removed during the modelling process owing to lack of stability secondary to missing data and few controls with dehydration.

However, when the variable is measured at the patient level either additional decisions have to be made in the modelling process as to in which sub-model the variable should be included or some model selection algorithm has to be invoked.

To do this, we used a mathematical tool, Hidden Markov Models (HMMs), Viterbi alignments [44] based on the HMMs, and proprietary heuristic algorithms to facilitate the modelling process and to remove false-positive sequences detected by the HMMs.

Moreover, as we show experimentally the qualitative model's guidance of the quantitative modelling process leads to predictions that may be considerably more accurate than those obtained by state-of-the-art numerical learning methods.

This paper describes a modelling process developed to assist managers facing such situations.